title: Network inference from time-dependent Omics data.
abstract: We provide a commented overview of the available databases for the systematic collection of pathway information and biological models essential for the interpretation of Omics data. Then, we present both the state of the art and the future challenges of network inference, a research area dealing with the deduction of reaction mechanisms from experimental Omics data. This approach represents one of the most challenging instances for making use of the huge amount of information gathered in the Omics era.
authors.affiliation: The Microsoft Research - University of Trento Centre for Computational and Systems Biology, Povo, Trento, Italy. lecca@cosbi.eu
authors.forename: Paola
authors.initials: P
authors.lastname: Lecca
authors.forename: Thanh-Phuong
authors.initials: TP
authors.lastname: Nguyen
authors.forename: Corrado
authors.initials: C
authors.lastname: Priami
authors.forename: Paola
authors.initials: P
authors.lastname: Quaglia
mesh_terms: D003627:Data Interpretation, Statistical; D016208:Databases, Factual; D006801:Humans; D016328:NF-kappa B / Q000378:metabolism; D015398:Signal Transduction; D049490:Systems Biology / Q000379:methods*; D013997:Time Factors
chemical_list: D016328:NF-kappa B